• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 30 matches

• 2016
• 
  Ivan Bogun, Eraldo Ribeiro:
  Fast Structured Tracker with Improvedmotionmodel using robust Kalman filter. Handbook of Pattern Recognition and Computer Vision 2016: 491-507
• 
  Alan Brunton, Augusto Salazar, Timo Bolkart, Stefanie Wuhrer:
  Statistical Shape Spaces for 3D Data: a Review. Handbook of Pattern Recognition and Computer Vision 2016: 217-238
• 
  Sonya Cates:
  Combining Representations for Improved Sketch Recognition. Handbook of Pattern Recognition and Computer Vision 2016: 397-413
• 
  Gabriele Cavallaro, Mauro Dalla Mura, Jón Atli Benediktsson:
  Analyzing Remote Sensing Images with Hierarchial Morphological Representations. Handbook of Pattern Recognition and Computer Vision 2016: 313-330
• 
  Meng-Che Chuang, Jenq-Neng Hwang, Kresimir Williams:
  Supervised and Unsupervised Feature Descriptors for error-Resilient underwater Live fish Recognition. Handbook of Pattern Recognition and Computer Vision 2016: 159-173
• 
  Li Deng, Navdeep Jaitly:
  Deep Discriminative and Generative Models for speech Pattern Recognition. Handbook of Pattern Recognition and Computer Vision 2016: 27-52
• 
  Bo-Yuan Feng, Ke Sun, Parmida Atighechian, Ching Y. Suen:
  Computer Recognition and Evaluation of Coins. Handbook of Pattern Recognition and Computer Vision 2016: 141-158
• 
  Mariusz Flasinski:
  Syntactic Pattern Recognition: Paradigm Issues and Open Problems. Handbook of Pattern Recognition and Computer Vision 2016: 3-25
• 
  Lin Gu, Antonio Robles-Kelly:
  Outdoor Shadow modelling and its Applications. Handbook of Pattern Recognition and Computer Vision 2016: 473-490
• 
  Laurent Heutte, Caroline Petitjean, Chesner Désir:
  Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging. Handbook of Pattern Recognition and Computer Vision 2016: 89-107
• 
  Ching-Chung Li, Wen-Chyi Lin:
  On Curvelet-based texture Features for Pattern Classification. Handbook of Pattern Recognition and Computer Vision 2016: 125-139
• 
  Marcus Liwicki, Volkmar Frinken, Muhammad Zeshan Afzal:
  Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis. Handbook of Pattern Recognition and Computer Vision 2016: 293-311
• 
  Marco Loog, Jesse H. Krijthe, Are Charles Jensen:
  On Measuring and Quantifying Performance: error rates, surrogate Loss, and an Example in Semi-Supervised Learning. Handbook of Pattern Recognition and Computer Vision 2016: 53-68
• 
  Yanbin Lu, Mina Yousefi, John Ellenberger, Richard H. Moore, Daniel B. Kopans, Adam Krzyzak, Ching Y. Suen:
  3D Tomosynthesis to Detect Breast cancer. Handbook of Pattern Recognition and Computer Vision 2016: 371-393
• 
  Rouzbeh Maani, Sanjay Kalra, Yee-Hong Yang:
  A Review of texture Classification Methods and their Applications in Medical Image Analysis of the brain. Handbook of Pattern Recognition and Computer Vision 2016: 351-369
• 
  David J. Michael:
  Using 3D Vision for Automated Industrial Inspection. Handbook of Pattern Recognition and Computer Vision 2016: 509-520
• 
  Gabriele Moser, Paola Costamagna, Andrea De Giorgi, Lissy Pellaco, Andrea Trucco, Sebastiano B. Serpico:
  Kernel-based Learning for Fault Detection and identification in fuel cell Systems. Handbook of Pattern Recognition and Computer Vision 2016: 455-472
• 
  Sedat Ozer:
  Visual Object Recognition with Image Retrieval. Handbook of Pattern Recognition and Computer Vision 2016: 415-425
• 
  João Paulo Papa, Willian Paraguassu Amorim, Alexandre Xavier Falcão, João Manuel R. S. Tavares:
  Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning. Handbook of Pattern Recognition and Computer Vision 2016: 109-123
• 
  Donavan Prieur, Eric Granger, Yvon Savaria, Claude Thibeault:
  Efficient identification of Faces in video Streams using low-Power Multi-Core Devices. Handbook of Pattern Recognition and Computer Vision 2016: 427-454
• 
  Kaspar Riesen, Horst Bunke:
  Graph Edit Distance - Novel Approximation Algorithms. Handbook of Pattern Recognition and Computer Vision 2016: 275-291
• 
  Mehrsan Javan Roshtkhari, Martin D. Levine:
  Tracking without Appearance Descriptors. Handbook of Pattern Recognition and Computer Vision 2016: 239-254
• 
  Yuan Yan Tang, Haoliang Yuan:
  Manifold-based Sparse Representation for hyperspectral Image Classification. Handbook of Pattern Recognition and Computer Vision 2016: 331-350
• 
  Matt Tanner, Matt Grimm, Harold B. Noyes:
  Parallel Pattern Matching using the Automata Processor. Handbook of Pattern Recognition and Computer Vision 2016: 539-559
• 
  Vidar V. Vikjord, Robert Jenssen:
  Information Theoretic Clustering using a k-Nearest Neighbors-based Divergence Measure. Handbook of Pattern Recognition and Computer Vision 2016: 69-88
• 
  Ziheng Wang, Qiang Ji:
  Knowledge Augmented Visual Learning. Handbook of Pattern Recognition and Computer Vision 2016: 255-274
• 
  Xianju Wang, Xiangyun Mary Ye:
  Vision Challenges in Image-based Barcode Readers. Handbook of Pattern Recognition and Computer Vision 2016: 521-538
• 
  Yi-Hsuan Yang, Ju-Chiang Wang, Yu-An Chen, Homer H. Chen:
  Model Adaptation for Personalized Music Emotion Recognition. Handbook of Pattern Recognition and Computer Vision 2016: 175-193
• 
  Liyan Zhang, Dmitri V. Kalashnikov, Sharad Mehrotra:
  Context Assisted Person identification for Images and Videos. Handbook of Pattern Recognition and Computer Vision 2016: 197-216
• 
  Chi Hau Chen:
  Handbook of Pattern Recognition and Computer Vision, 5th Ed. World Scientific 2016, ISBN 978-981-4656-52-8 [contents]